Evidence map›Paper›PMID 37945775›Full record

ArticleEuropean journal of hybrid imaging2023

Accuracy of combined multi-parametric MRI and PSMA PET-CT in diagnosing localized prostate cancer: newer horizons for a biopsy-free pathway.

Aditya Prakash Sharma, Rajender Kumar, Rohit Chauhan, Shiraz Akif Ziauddin, Shanky Singh, Harmandeep Singh, Sudheer Kumar Devana, Ujjwal Gorsi, Girdhar Singh Bora, Ravimohan S Mavuduru and 3 more

Open access · goldAbstract read
In one paragraph

Article in European journal of hybrid imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Aditya Prakash SharmaDepartment of Urology, Advance Urology Centre, PGIMER, Nehru Hospital, 160012, Chandigarh, India. Aditya.p.sharma@gmail.com.ORCID http://orcid.org/0000-0003-3071-9916
Rajender KumarDepartment of Nuclear Medicine, PGIMER, Chandigarh, India.
Rohit ChauhanDepartment of Urology, Advance Urology Centre, PGIMER, Nehru Hospital, 160012, Chandigarh, India.
Shiraz Akif ZiauddinDepartment of Urology, Advance Urology Centre, PGIMER, Nehru Hospital, 160012, Chandigarh, India.
Shanky SinghDepartment of Urology, Advance Urology Centre, PGIMER, Nehru Hospital, 160012, Chandigarh, India.
Harmandeep SinghDepartment of Nuclear Medicine, PGIMER, Chandigarh, India.
Sudheer Kumar DevanaDepartment of Urology, Advance Urology Centre, PGIMER, Nehru Hospital, 160012, Chandigarh, India.
Ujjwal GorsiDepartment of Radiodiagnosis, PGIMER, Chandigarh, India.
Girdhar Singh BoraDepartment of Urology, Advance Urology Centre, PGIMER, Nehru Hospital, 160012, Chandigarh, India.
Ravimohan S MavuduruDepartment of Urology, Advance Urology Centre, PGIMER, Nehru Hospital, 160012, Chandigarh, India.
Santosh KumarDepartment of Urology, Advance Urology Centre, PGIMER, Nehru Hospital, 160012, Chandigarh, India.
Uttam K MeteDepartment of Urology, Advance Urology Centre, PGIMER, Nehru Hospital, 160012, Chandigarh, India.
Bhagwant Rai MittalDepartment of Nuclear Medicine, PGIMER, Chandigarh, India.
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionProstate-specific antigen (PSA) is a reliable biomarker for identification of prostate cancer, although a biopsy is still the gold standard for detecting prostate cancer. Similar to higher PIRADS lesions on MRI, the maximal standard uptake value (SUV max) on PSMA PET is linked to a higher likelihood of prostate cancer. Can an mpMRI in conjunction with PSMA PET Scan accurately predict prostate cancer and further trigger omission of biopsy similar to other solid organ urological malignancies?

methodsGa-68 PSMA PET and mpMRI were performed for each patient who was a part of this retrospective study. The PET-positive lesion's maximum standardized uptake value (SUVmax) was recorded. Prostate biopsies were performed on patients who had PSMA PET avid lesions and a PIRADS score of 4 or 5. Robot-assisted radical prostatectomy (RARP) was afterward performed on patients who had cancer on their prostate biopsy. The prostatectomy specimen's histopathological information was recorded. Cutoff values and correlations between the variables were determined using the ROC curves and Pearson's correlation test.

resultOn the basis of suspicious DRE findings or elevated PSA, 70 men underwent mpMRI and PET scans. PIRADS 4 patients had a median (IQR) SUVmax of 8.75 (11.95); whereas, PIRADS 5 patients had an SUVmax of 24.5 (22). The mean SUVmax for patients whose biopsies revealed no cancer was 6.25 ± 1.41. With an AUC of 0.876 on the ROC curve, it was found that there was a significant positive correlation between the results of the mpMRI and PET scans and those of the histopathological investigation. A SUVmax ≥ 8.25 on PSMA PET for a PIRADS 4/5 lesion on mpMRI will aid in correctly predicting malignancy, with a sensitivity of 82.8% and specificity of 100%.

conclusionThe findings of this study were positive and indicated that patients with a high suspicion of prostate cancer on mpMRI and PSMA PET (PIRADS ≥ 4 and SUVmax ≥ 8.25). This study substantiates the fact that a combination of mpMRI and PSMA PET can accurately predict localized prostate cancer.

Indexed as

mpMRIProstate cancerPSMA PETSUVmax

Identifiers

PMID37945775
PMCPMC10635997
OpenAlexW4388551682

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.